Mohammad Azab
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 21
- Acute Myeloid Leukemia Research 21
- Chronic Myeloid Leukemia Treatments 2
- Genetics 5
- Co-authors
- Aram Oganesian (8 shared papers)Elizabeth A. Griffiths (6 shared papers)Gail J. Roboz (6 shared papers)Hagop Kantarjian (7 shared papers)Karen W L Yee (5 shared papers)Casey Lee O'Connell (5 shared papers)James N. Lowder (4 shared papers)Yong Hao (4 shared papers)
- Journals
- Blood (12 papers)Future Oncology (2 papers)Cancer Chemotherapy and Pharmacology (2 papers)The Lancet Oncology (2 papers)Cancer (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Mohammad Azab
27 papers receiving 925 citations
Peers
Comparison fields: 5 of 63
- Hematology 566
- Genetics 131
- Molecular Biology 539
- Oncology 104
- Cancer Research 52
Countries citing papers authored by Mohammad Azab
This map shows the geographic impact of Mohammad Azab's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mohammad Azab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Azab more than expected).
Fields of papers citing papers by Mohammad Azab
This network shows the impact of papers produced by Mohammad Azab. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mohammad Azab. The network helps show where Mohammad Azab may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammad Azab, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 235 | |
| 2 | 2020 | 171 | |
| 3 | 2017 | 135 | |
| 4 | 2023 | 65 | |
| 5 | 2017 | 57 | |
| 6 | 2023 | 41 | |
| 7 | 2013 | 30 | |
| 8 | 2014 | 28 | |
| 9 | 2020 | 20 | |
| 10 | 2023 | 19 | |
| 11 | 2012 | 18 | |
| 12 | 2020 | 17 | |
| 13 | 2021 | 16 | |
| 14 | 2016 | 14 | |
| 15 | 2023 | 13 | |
| 16 | 2022 | 13 | |
| 17 | 2016 | 10 | |
| 18 | 2022 | 10 | |
| 19 | 2014 | 8 | |
| 20 | 2015 | 7 |
About Mohammad Azab
Mohammad Azab is a scholar working on Hematology, Genetics, Public Health, Environmental and Occupational Health, Molecular Biology and Oncology, having authored 27 papers that have together received 947 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (21 papers), Acute Lymphoblastic Leukemia research (7 papers), Histone Deacetylase Inhibitors Research (5 papers), Epigenetics and DNA Methylation (4 papers), Neutropenia and Cancer Infections (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Hematology (566 citations), Genetics (131 citations), Molecular Biology (539 citations), Oncology (104 citations) and Cancer Research (52 citations). Mohammad Azab has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Aram Oganesian, Elizabeth A. Griffiths, Gail J. Roboz, Hagop Kantarjian, Karen W L Yee, Casey Lee O'Connell, James N. Lowder, Yong Hao, Pietro Taverna and David Alan Rizzieri. Their work appears in journals such as Blood, Future Oncology, Cancer Chemotherapy and Pharmacology, The Lancet Oncology and Cancer.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.